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EViews — Econometric Analysis of Panel Data


In this course "panel data" refers to the combination over a number of time periods observations on a cross-section of countries, households, firms and so forth. Panel data which is also known as longitudinal data, allows for more educative outcomes, more variability, more degrees of freedom and more efficiency. This is an applied course which concentrates on practical experience in estimation, interpretation, and evaluation of economic links in the context of panel data.


2 days


Researchers or analysts in any of the following fields of economic application: development economics, public finance and tax policy, socio-economics and health, financial markets, as well as international trade and finance.


  1. Stationary panel data:
  • One-way error component models
  • Two-way error component models
  • Hypothesis testing
  • Heteroscedasticity and serial correlation
  • Seemingly unrelated regression (SUR) models
  1. Non-stationary panel data
  • Unit root tests
  • Estimation of non-stationary time series
  • Co-integration tests


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The venue of the training includes IRES training Centre or another location chosen by the group or in-house for corporates. For locations outside IRES training Centre, the participants are required to have laptops where the software and other materials for the training will be loaded.


Payment should be transferred to IRES account through bank on or before C.O.B 11th  November 2019.

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Mob: +254 715 077 817

Tel: 020 211 3814


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to thecommencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 2 Days
Event Date 18-11-2019
Event End Date 19-11-2019
Cut off date 11-11-2019
Individual Price(Kenyan) KES 30,000
Individual Price (International) EUR 404
Individual Price(International in Dollars) USD 440
Location Nairobi, Kenya
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